Related Issues (20)
- inductor benchmark util BC change
- Replace flash_4 with FlexAttention
- NF4 quantization slower on 0.3 vs 0.1 HOT 13
- [BUG] Float8Linear does not work with torch.inference_mode HOT 2
- FSDP 2 low bit optim broken on pytorch nightlies HOT 11
- Per Layer Streaming Quantization HOT 4
- autoquant api sharp edges
- Self compressing neural networks
- high throughput inference HOT 3
- the largest model you have validated with the FP8 implementation? HOT 1
- Tensor size mismatch when using static quantization HOT 2
- [Tracker] WIP features for torchao 0.5
- `get_block_size` function supports different granularities
- [Llama] Make Llama in torchao trainable
- Tutorial "run_vit_b_quant.py" cannot run HOT 6
- import do_bench fails with pytorch nightly HOT 3
- [FP8] performance degradation in speed and memory without compile HOT 1
- unskip test_dynamic_quant_per_channel_numerics_cuda(self):
- [RFC] Which low bit CUDA kernels should we merge or write? HOT 3
- [AQT-bug] `AffineQuantizedTensor` raises error with `.cuda()` HOT 1
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